TORONTO — With Mark’s Labour Day Weekend come and gone, playoff races are officially under close watch heading into Week 14 of the CFL season.
With that, CFL Simulation is back for another year to track playoff and Grey Cup odds the rest of the way — and some of the early results may come as a surprise.
Not shocking to anyone is that the Calgary Stampeders lead the way to make the post-season and a heavy favourite to win the Grey Cup this November. Meanwhile, the Hamilton Tiger-Cats have positioned themselves to be the Beast of the East, having the second highest odds to be joining Commissioner Randy Ambrosie on the stage in Edmonton.
With a substantial difference between themselves and the rest of the East Division, the Tiger-Cats appear in the top three most likely Grey Cup matchups.
With just one meeting thus far, and it coming in Week 1 of the schedule, the matchup between the Calgary Stampeders and Hamilton Tiger-Cats in Week 14 gives a glimpse into the highest projected pairing for the 106th Grey Cup.
We break it all down below, and remember — it’s only a simulation. The Grey Cup isn’t won on paper, nor is it handed out in September.
New this year, we’ve included each team’s projected regular season record, as well as the likelihood of each team having a home playoff date come November.
ODDS TO MAKE PLAYOFFS
|Team (Projected 2018 Record)||Projection|
|Calgary Stampeders (13-5)||99.99%|
|Hamilton Tiger-Cats (11-7)||99.73%|
|Saskatchewan Roughriders (11-7)||99.63%|
|Edmonton Eskimos (11-7)||99.27%|
|Ottawa REDBLACKS (9-9)||96.23%|
|BC Lions (8-10)||53.75%|
|Winnipeg Blue Bombers (7-11)||40.27%|
|Montreal Alouettes (6-12)||7.28%|
|Toronto Argonauts (5-13)||3.85%|
ODDS TO HOST PLAYOFF GAME
|Winnipeg Blue Bombers||0.28%|
ODDS TO WIN EAST
ODDS TO WIN WEST
|Winnipeg Blue Bombers||< 0.01%|
ODDS TO APPEAR IN 106TH GREY CUP
|Winnipeg Blue Bombers||2.32%|
ODDS TO WIN 106TH GREY CUP
|Winnipeg Blue Bombers||0.52%|
MOST LIKELY 106TH GREY CUP MATCHUPS
• Each team’s current win-loss record.
• Opponents already played (including whether it was a home or away game).
• Margin of victory (or loss) in games previously played in the season.
• Remaining opponents to be played (including whether those games are home or away).
• Most recent results (a recent win is weighted more heavily than a win back in Week 1, for example)
The model calculates each team’s probability of victory in each remaining game. It then simulates 10,000 replications of the remaining regular season schedule. The first place team in each division is the one with the most regular season wins. For each replication, the model keeps track of which team finished first.
For instance, if Winnipeg finished first in the Western Division in 1,990 of the 10,000 replications, then its first place probability is 1,990 / 10,000 = 19.90%.
The model is updated weekly based on the results of games played that week.